const std = @import("std");
const driver_manager = @import("driver_manager.zig");
const api = @import("api.zig");

// NPU驱动数据结构
const NpuDriverData = struct {
    // 驱动私有数据
    allocator: std.mem.Allocator,
    device_count: u32,
    initialized: bool,
};

// NPU设备数据结构
const NpuDeviceData = struct {
    device_id: u64,
    model_loaded: bool,
    current_model_id: u32,
    operation_status: u32,
    // 其他NPU设备相关字段
};

// NPU驱动命令
pub const NPU_IOCTL_LOAD_MODEL = 0x101;
pub const NPU_IOCTL_UNLOAD_MODEL = 0x102;
pub const NPU_IOCTL_EXECUTE_INFERENCE = 0x103;
pub const NPU_IOCTL_GET_STATUS = 0x104;
pub const NPU_IOCTL_SET_CONFIG = 0x105;

// NPU模型信息
const NpuModelInfo = struct {
    model_id: u32,
    model_path: [256]u8,
    input_size: u64,
    output_size: u64,
    // 其他模型相关信息
};

// NPU推理请求
const NpuInferenceRequest = struct {
    model_id: u32,
    input_buffer: u64, // 物理地址
    output_buffer: u64, // 物理地址
    input_size: u64,
    output_size: u64,
};

// NPU设备状态
const NpuStatus = struct {
    device_id: u64,
    is_busy: bool,
    loaded_models: u32,
    memory_usage: u64,
    temperature: u32,
};

// NPU配置参数
const NpuConfig = struct {
    frequency: u32, // MHz
    power_mode: u8, // 0: 省电, 1: 平衡, 2: 高性能
    memory_limit: u64, // 字节
};

// 初始化驱动
fn init_driver(allocator: std.mem.Allocator, driver_data: *anyopaque) bool {
    std.log.info("NPU driver initialized");
    
    // 分配驱动数据
    const npu_data = allocator.create(NpuDriverData) catch {
        std.log.err("Failed to allocate NPU driver data");
        return false;
    };
    
    npu_data.* = NpuDriverData{
        .allocator = allocator,
        .device_count = 0,
        .initialized = true,
    };
    
    // 存储驱动数据
    @atomicStore(*anyopaque, driver_data, npu_data, .Release);
    return true;
}

// 清理驱动
fn deinit_driver(driver_data: *anyopaque) void {
    const npu_data = @ptrCast(*NpuDriverData, @alignCast(@alignOf(NpuDriverData), driver_data));
    std.log.info("NPU driver deinitialized");
    npu_data.allocator.destroy(npu_data);
}

// 探测设备
fn probe_device(device_info: *driver_manager.DeviceInfo) bool {
    // 检查是否为NPU设备
    std.log.info("NPU driver probing device: VID={x}, PID={x}", .{device_info.vendor_id, device_info.device_id});
    
    // 这里我们假设NPU设备的类ID范围是0x080000到0x08FFFF
    if (device_info.class_id >= 0x080000 and device_info.class_id <= 0x08FFFF) {
        std.log.info("NPU device matched");
        return true;
    }
    
    return false;
}

// 移除设备
fn remove_device(device_id: u64) void {
    std.log.info("NPU driver removing device: {d}", .{device_id});
    // 这里应该清理与该设备相关的所有资源
}

// IO控制
fn ioctl_device(device_id: u64, cmd: u32, data: *anyopaque, size: u64) isize {
    std.log.info("NPU driver IOCTL: device={d}, cmd={x}, size={d}", .{device_id, cmd, size});
    
    switch (cmd) {
        NPU_IOCTL_LOAD_MODEL => {
            if (size < @sizeOf(NpuModelInfo)) {
                return -1; // 缓冲区太小
            }
            
            const model_info = @ptrCast(*NpuModelInfo, @alignCast(@alignOf(NpuModelInfo), data));
            std.log.info("Loading model: ID={d}, Path={s}", .{model_info.model_id, &model_info.model_path});
            
            // 模拟模型加载过程
            std.log.info("Model loaded successfully");
            return 0;
        },
        
        NPU_IOCTL_UNLOAD_MODEL => {
            if (size < @sizeOf(u32)) {
                return -1; // 缓冲区太小
            }
            
            const model_id = @ptrCast(*u32, @alignCast(@alignOf(u32), data));
            std.log.info("Unloading model: ID={d}", .{model_id.*});
            
            // 模拟模型卸载过程
            std.log.info("Model unloaded successfully");
            return 0;
        },
        
        NPU_IOCTL_EXECUTE_INFERENCE => {
            if (size < @sizeOf(NpuInferenceRequest)) {
                return -1; // 缓冲区太小
            }
            
            const request = @ptrCast(*NpuInferenceRequest, @alignCast(@alignOf(NpuInferenceRequest), data));
            std.log.info("Executing inference: Model ID={d}", .{request.model_id});
            std.log.info("Input: addr={x}, size={d}", .{request.input_buffer, request.input_size});
            std.log.info("Output: addr={x}, size={d}", .{request.output_buffer, request.output_size});
            
            // 模拟推理执行
            std.log.info("Inference completed successfully");
            return @sizeOf(u64); // 返回推理结果大小
        },
        
        NPU_IOCTL_GET_STATUS => {
            if (size < @sizeOf(NpuStatus)) {
                return -1; // 缓冲区太小
            }
            
            const status = @ptrCast(*NpuStatus, @alignCast(@alignOf(NpuStatus), data));
            status.device_id = device_id;
            status.is_busy = false;
            status.loaded_models = 1;
            status.memory_usage = 1024 * 1024 * 128; // 假设使用了128MB内存
            status.temperature = 65; // 假设温度为65°C
            
            return @sizeOf(NpuStatus);
        },
        
        NPU_IOCTL_SET_CONFIG => {
            if (size < @sizeOf(NpuConfig)) {
                return -1; // 缓冲区太小
            }
            
            const config = @ptrCast(*NpuConfig, @alignCast(@alignOf(NpuConfig), data));
            std.log.info("Setting NPU config: Freq={d}MHz, PowerMode={d}, MemLimit={d}MB", 
                .{config.frequency, config.power_mode, config.memory_limit / (1024 * 1024)});
            
            // 模拟配置设置
            std.log.info("NPU config updated successfully");
            return 0;
        },
        
        else => {
            std.log.info("Unknown NPU IOCTL command");
            return -1; // 未知命令
        },
    }
}

// NPU驱动接口
pub const npu_driver_interface = driver_manager.DriverInterface{
    .name = "npu_driver",
    .description = "Neural Processing Unit driver",
    .version = 1,
    .init = init_driver,
    .deinit = deinit_driver,
    .probe = probe_device,
    .remove = remove_device,
    .ioctl = ioctl_device,
};

// 导出驱动接口
export fn npu_driver_get_interface() *driver_manager.DriverInterface {
    return &npu_driver_interface;
}